Borrowing it
Nothing to install: this file belongs to SCStelz/security-investigator. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/SCStelz/security-investigator/main/.github/skills/user-investigation/SKILL.mdgit clone --depth 1 https://github.com/SCStelz/security-investigatorWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/scstelz/security-investigator/user-investigation)<a href="https://agentmods.dev/skills/scstelz/security-investigator/user-investigation"><img src="https://agentmods.dev/badge/skills/scstelz/security-investigator/user-investigation/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/scstelz/security-investigator/user-investigation"><img src="https://agentmods.dev/badge/skills/scstelz/security-investigator/user-investigation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 95 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
- medium Agent Snooping · line 1307 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00110 | $0.14254 |
| Opus 5 | $0.00055 | $0.07127 |
| Sonnet 5 | $0.00022 | $0.02851 |
| Haiku 4.5 | $0.00011 | $0.01425 |
Grade A, and why
user-investigation scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 1,316 lines — stays where its author put it; the contents beside it link to each section on GitHub.
User Security Investigation - Instructions
Purpose
This skill performs comprehensive security investigations on Entra ID user accounts, analyzing sign-in patterns, anomalies, MFA status, device compliance, audit logs, Office 365 activity, security incidents, and Identity Protection risk signals.
📑 TABLE OF CONTENTS
- Critical Workflow Rules - Start here!
- Investigation Types - Standard/Quick/Comprehensive
- Output Modes - Inline / Markdown file / HTML report
- Quick Start - 6-step investigation pattern
- Execution Workflow - Complete process
- Sample KQL Queries - Validated query patterns
- Microsoft Graph Queries - Identity Protection integration
- Markdown Report Template - Full markdown report structure
- JSON Export Structure - Required fields (HTML report)
- Error Handling - Troubleshooting guide
- SVG Dashboard Generation - Visual dashboard from report data
Investigation shortcuts:
- Risky user quick triage (TP Q3): Q6 (security incidents) → Q2 (anomalies) → Q12 (UEBA anomalies) → Q3d (sign-ins by IP) → Graph: MFA methods
- Compromised user forensics (TP Q3+Q9): Q3 (sign-in summary) → Q5 (OfficeActivity) → Q3d (IP breakdown) → Q1 (priority IPs for enrichment)
- Password spray target (TP Q4): Q3c (sign-in failures) → Q3d (IPs hitting this user) → Q6 (related incidents)
- Post-incident user timeline (TP Q1, incident follow-up): Q4 (audit logs) → Q5 (O365 activity) → Q10 (DLP events) → Q6 (all incidents)
- IP enrichment for user (TP Q3+Q4): Q1 (priority IP extraction) → Q11 (TI matches) →
enrich_ips.py - UEBA behavioral context (TP Q3, portal UEBA anomalies): Q12 (Anomalies table) → Q6 (related incidents) → Q4 (audit trail)
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 1,316 lines · 110 tokens per session scan A dfe7634f544b
user-investigation is a skill published in the GitHub repository SCStelz/security-investigator (245 stars, last pushed 3d ago), licensed MIT. It adds 110 tokens to every session and 14,254 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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